As a test against state of the art classification methods we compare our 01 loss network with 500 hidden nodes to two convolutional neural networks. First is LeNet [1]} which is among the first convolutional networks to be proposed and second is SimpleNet500. In this model we use the same convolutional layers as LeNet followed by one layer of 500 nodes and then the final output node.
